Remove Devops Remove Pharmaceuticals Remove Software Development
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Can developer productivity be measured? Better than you think

CIO Business Intelligence

In retail, for example, software has been the fastest-growing job category ; about half of the world’s software engineers work outside the tech industry. Right now, there are roughly 27 million developers on the job, 4.4 ROI and Metrics, Software Development million in the United States. That isn’t easy.

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The 10 highest-paying industries for IT talent

CIO Business Intelligence

Healthcare Technology is paramount for the healthcare industry, including the medical, pharmaceutical, and biotechnology industries. There is always a demand for knowledgeable IT pros who can help organizations design, develop, implement, and maintain software products and services.

Industry 122
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10 key roles for AI success

CIO Business Intelligence

Data engineers build data pipelines to collect and assemble data for downstream usage, and in a DevOps setting, they build pipelines to implement the infrastructure on which these data pipelines run,” he says. The data engineer is foundational for both ML and non-ML initiatives, he says.

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Rethinking the 'production' of data

All Things Distributed

Breuninger, a fashion department store chain steeped in tradition, has recognized this and relies on a self-developed e-commerce platform in the AWS Cloud. Each team acts according to the principle: "You build it, you run it" Hence, the teams are themselves responsible for the productive operation of the software.

Data 72
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8-10x performance upticks in next-gen infrastructure enable AI workloads

CIO Business Intelligence

AI in Action AI data center and edge deployments mandate a highly interdependent ecosystem of up-level software and hardware capabilities, including a mix of GPU- and CPU-based processors. Consider, for example, a pharmaceutical company using AI modeling and simulation for drug discovery. Dell Technologies.

Dell 98
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CIO 100 Award winners drive business results with IT

CIO Business Intelligence

The company sought to use higher levels of automation to develop and release software in a continuous improvement and continuous delivery (CI/CD) cycle. The result: a cloud DevOps test data management platform that enables teams to rapidly stand up new data environments. “We There is no more waiting around for quality data.